Paper: Using Conditional Random Fields to Extract Contexts and Answers of Questions from Online Forums

ACL ID P08-1081
Title Using Conditional Random Fields to Extract Contexts and Answers of Questions from Online Forums
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2008
Authors

Online forum discussions often contain vast amounts of questions that are the focuses of discussions. Extracting contexts and answers together with the questions will yield not only a coherent forum summary but also a valu- able QA knowledge base. In this paper, we propose a general framework based on Con- ditional Random Fields (CRFs) to detect the contexts and answers of questions from forum threads. We improve the basic framework by Skip-chain CRFs and 2D CRFs to better ac- commodate the features of forums for better performance. Experimental results show that our techniques are very promising.